In the past decade many papers have discussed innovation policies in terms of their design, assessment and impact. Drawing on those contributions, the ECOECD STIP Compass suggests a detailed taxonomy of innovation policies with regard to their themes, target groups of beneficiaries and instruments. Implemented with a web platform, that taxonomy has promoted an extensive collection of information on innovation policy initiatives across OECD member countries. Using the STIP dataset, in this paper we employ that taxonomy to identify the innovation policy mixes by referring to all the dimensions encompassed in each policy initiative, i.e., themes, targets, instruments. The evidence-based multidimensional analyses yield a typology and set of topics of innovation policy mixes that we use to conduct a cross-country analysis of innovation policy portfolios. Although the results of the cross-country analysis are statistically significant, caution is necessary when using them because of three main fragilities of the current version of STIP Compass: the absence of information on innovation policies at subnational level; the classification of the largest group of target beneficiaries, i.e. innovation intermediaries; the quality of some information essential for enhancing the analysis. The proposed navigation of the STIP Compass data is freely accessible online.

在过去的十年中，许多论文从设计，评估和影响方面讨论了创新政策。欧共体利用这些贡献经合组织STIP指南针针对主题，受益人和工具的目标，提出了创新政策的详细分类法。该分类法通过网络平台实施，促进了经合组织成员国中有关创新政策举措的广泛信息收集。在本文中，我们使用STIP数据集，通过参考每个政策倡议中包含的所有维度（即主题，目标，工具），采用该分类法来识别创新政策组合。基于证据的多维分析得出了创新政策组合的类型和主题集，我们将其用于对创新政策组合进行跨国分析。尽管越野分析的结果具有统计意义，由于当前STIP指南针的三个主要缺陷，因此在使用它们时必须格外小心：缺乏有关国家以下各级创新政策的信息；目标受益者最大的群体的分类，即创新中介机构；对增强分析必不可少的某些信息的质量。STIP指南针数据的建议导航可在线免费访问。